Making rehabilitation smarter, simpler, and more accessible
Our mission is to improve the way patients complete rehab at home by combining guided exercise, interactive technology, and remote progress tracking.
Our Features
What’s Our Speciality
AI Rehab was created to improve the way patients complete rehabilitation at home. Traditional physiotherapy is often difficult to monitor once a patient leaves the clinic, leaving clinicians with limited visibility and patients with the challenge of staying motivated on their own.
Our platform bridges that gap by combining guided exercises, interactive games, and remote progress tracking into one connected rehabilitation experience.
By making home-based rehabilitation easier to follow and more engaging to complete, AI Rehab helps patients stay consistent while giving healthcare professionals clearer insight into their recovery journey.
Guided home rehabilitation
Helping patients complete structured exercises safely and consistently from home.
Patient engagement
Using interactive games to make rehabilitation more motivating and less repetitive.
Remote monitoring
Capturing progress data to help healthcare professionals understand how patients are recovering between appointments.
Clinical visibility
Providing clearer insight into movement, activity, and rehabilitation progress.
Scalable care delivery
Supporting healthcare providers with a more efficient way to manage rehabilitation beyond the clinic.
40+ Years Of Experience
Our Mission
Our mission is to make rehabilitation more accessible, engaging, and measurable.
We believe patients should feel supported throughout their recovery, not just during appointments. By using smart technology to guide movement, capture progress, and encourage consistency, AI Rehab is helping create a more connected approach to rehabilitation.
For healthcare providers, this means better visibility of patient progress. For patients, it means a more motivating and confidence-building recovery experience.
Leadership Team
Meet Our Expert Team and Advisory Board
Shameem Sampath MD FRCS
Founder and CEO
Visiting Professor Manchester Metropolitan
Oxford and Harvard trained
Over 2000 knee replacements
Mikail Aktas MD MRes (First Class) MRCS
Business Lead
Medical doctor
Imperial College
Mark Ghee HPC , Grad Dip Phys, AACP
Chartered Physiotherapist with over 20 years experience
Clement Twumasi PhD CSat MPhil BSc
Data Scientist
Royal Statistical Society (RSS) accredited Chartered Statistician (CStat)
Statistical Consultant
Senior Medical Statistician
Szymon Manduk
MBA, MSc
Software Engineer
20+ years experience
Claire McGarvey
BSc
Neuroscientist
Fund raising and Investor Relations
Mark Seed
Patient advocate
Previous multiple knee injuries and surgery
Publications we feature in
A Device for Prehabilitation of Total Knee Replacement Surgery (Slider): Usability Study
Islam R, Gooch D, Karlakki S, Price B
JMIR Form Res 2023;7:e48055
https://formative.jmir.org/2023/1/e48055
DOI: 10.2196/48055
QUIT: Quadriceps Inhibition Trends after Knee Arthroplasty, Sampath SACM, Aktas M, Presented at the 24th Annual Meeting of the International Society for Computer Assisted Orthopaedic Surgery (CAOS 2024).
Published in EPiC Series in Health Sciences, Vol. 7, pp. 197–201. DOI:
10.29007/ltm7 https://easychair.org/publications/paper/dPPg
Kinetic Pattern Recognition in Home-Based Knee Rehabilitation Using Machine Learning Clustering Methods on the Slider Digital Physiotherapy Device
Prospective Observational Study, Twumasi C, Aktas M, Santoni N, JMIR Formative Research. March 18, 2025; 9:e69150. DOI: 10.2196/69150 | PMID: 40100262 | PMCID: PMC11962318
https://pubmed.ncbi.nlm.nih.gov/40100262
Comparison of Clinical Outcomes Between the Slider Device and Standard Physiotherapy for Knee Osteoarthritis Patients Undergoing Knee Replacement Surgery
A Pilot Study, McDonald S, Lim JW, Shanmugan K, Johnston AT, Bidwell JP,Podium Presentation at CAOS 2025, Davos, Switzerland., Affiliations: Norfolk & Norwich University Hospital; Woodend Hospital, NHS Grampian,
